Astrometric Redshifts of Supernovae

Kavli Affiliate: Richard Kessler | First 5 Authors: Jaemyoung Jason Lee, Masao Sako, Richard Kessler, Alex I. Malz, The LSST Dark Energy Science Collaboration | Summary: Differential Chromatic Refraction (DCR) is caused by the wavelength dependence of our atmosphere’s refractive index, which shifts the apparent positions of stars and galaxies and distorts their shapes depending […]


Continue.. Astrometric Redshifts of Supernovae

Astrometric Redshifts of Supernovae

Kavli Affiliate: Richard Kessler | First 5 Authors: Jaemyoung, Lee, Masao Sako, Richard Kessler, Alex I. Malz | Summary: Differential Chromatic Refraction (DCR) is caused by the wavelength dependence of our atmosphere’s refractive index, which shifts the apparent positions of stars and galaxies and distorts their shapes depending on their spectral energy distributions (SEDs). While […]


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Probability of Presence Versus $ψ(x,t)^* ψ(x, t)$

Kavli Affiliate: Frank Wilczek | First 5 Authors: Frank Wilczek, Zara Yu, , , | Summary: Postulating the identification of $psi^*(x, t) psi(x,t)$ with a physical probability density is unsatisfactory conceptually and overly limited practically. For electrons, there is a simple, calculable relativistic correction proportional to $nabla psi^* cdot nabla psi$. In particular, zeroes of […]


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OptPDE: Discovering Novel Integrable Systems via AI-Human Collaboration

Kavli Affiliate: Max Tegmark | First 5 Authors: Subhash Kantamneni, Ziming Liu, Max Tegmark, , | Summary: Integrable partial differential equation (PDE) systems are of great interest in natural science, but are exceedingly rare and difficult to discover. To solve this, we introduce OptPDE, a first-of-its-kind machine learning approach that Optimizes PDEs’ coefficients to maximize […]


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Direct observation of the neural computations underlying a single decision

Kavli Affiliate: Michael Shadlen | Authors: Natalie A Steinemann, Gabriel M Stine, Eric M Trautmann, Ariel Zylberberg, Daniel M Wolpert and Michael N Shadlen | Summary: Neurobiological investigations of perceptual decision-making have furnished the first glimpse of a flexible cognitive process at the level of single neurons (Shadlen and Newsome, 1996; Shadlen and Kiani, 2013). […]


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DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

Kavli Affiliate: Zheng Zhu | First 5 Authors: Chen Min, Dawei Zhao, Liang Xiao, Jian Zhao, Xinli Xu | Summary: Vision-centric autonomous driving has recently raised wide attention due to its lower cost. Pre-training is essential for extracting a universal representation. However, current vision-centric pre-training typically relies on either 2D or 3D pre-text tasks, overlooking […]


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Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Kavli Affiliate: Yi Zhou | First 5 Authors: Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad | Summary: Large Language Models (LLMs) trained on code are revolutionizing the software development process. Increasingly, code LLMs are being integrated into software development environments to improve the productivity of human programmers, and LLM-based agents are beginning […]


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Very Long Baseline Array Observations of Parsec-scale Radio Emission in Dual Active Galactic Nuclei

Kavli Affiliate: Luis C. Ho | First 5 Authors: Wancheng Xu, Lang Cui, Xiang Liu, Tao An, Hongmin Cao | Summary: It is believed that dual active galactic nuclei (dual AGN) will form during galaxies merge. Studying dual-AGN emission can provide valuable insights into galaxy merging and evolution. To investigate parsec-scale radio emission properties, we […]


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Extracting parity-violating gravitational waves from projected tidal force tensor in three dimensions

Kavli Affiliate: Misao Sasaki | First 5 Authors: Teppei Okumura, Misao Sasaki, , , | Summary: Gravitational waves (GWs) may be produced by various mechanisms in the early universe. In particular, if parity is violated, it may lead to the production of parity-violating GWs. In this paper, we focus on GWs on the scale of […]


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